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AgnesWu · 2023年05月28日

B选项

NO.PZ2022081802000113

问题如下:

Question Which of the following errors would most likely be a result of overfitting a machine learning model?

选项:

A.Inability to recognize relationships within the training data

B.A predictive model that treats true parameters as if they are noise

C.The discovery of unsubstantiated patterns that lead to prediction errors

解释:

Solution

C is correct. Overfitting a model can lead to the discovery of unsubstantiated patterns that lead to prediction errors and incorrect output forecasts.

A is incorrect. The inability to recognize relationships within the training data most likely results from underfitting the model.

B is incorrect. The development of a predictive model that treats true parameters as if they are noise is most likely a result of underfitting the model.

 讲义上对于over fitting 和underfitting都有B选项这句话,是不是B本身没错,但C更适合?

2 个答案
已采纳答案

Kiko_品职助教 · 2023年05月30日

嗨,爱思考的PZer你好:


B本身就是错的。B选项说一个把正确的参数当成了noise的预测模型,这会导致模型参数不够准确,造成欠拟合。相反如果把noise当成了预测模型的正确参数,那么会造成过度拟合。

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虽然现在很辛苦,但努力过的感觉真的很好,加油!

AgnesWu · 2023年05月30日

看错了noise 和true parameters的关系,谢谢

Kiko_品职助教 · 2023年05月31日

嗨,爱思考的PZer你好:


不客气,加油~

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加油吧,让我们一起遇见更好的自己!